Top 10 Python Libraries for Data Engineering in 2026
This article presents ten Python libraries that address key challenges in data engineering, organized into four areas: workflow orchestration, data ingestion, data quality, and storage/serialization. The libraries include Prefect, SQLMesh, dlt, Bytewax, PySpark, Great Expectations, Pandera, DuckDB, Polars, and Ibis, each with a brief description and learning resource.
Top 10 Python Libraries for Data Engineering in 2026
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